Data Science Intern
Use Python to extract text from images and convert audio files into text for data analysis.Utilize API prompt to customize text output and integrate various APIs and technologies to automate dataprocessing and analysis.Develop visual presentations by Python libraries: Matplotlib, Seaborn, and Canvas for data analysis results.Keeping up-to-date with the latest research and trends in data science, attending conferences and workshops,and continuously improving skills and knowledge.Conducted exploratory data analysis (EDA) on large datasets, identifying trends, outliers, and correlations.Developed predictive models using machine learning algorithms (e.g., regression, classification, clustering) inPython